class: center, middle, inverse, title-slide .title[ # Survey Data Analysis with Kobocruncher ] .subtitle[ ## Session 6 - Cleaning and Indicator Calculation ] .author[ ### <a href="https://edouard-legoupil.github.io/kobocruncher/">Link to Documentation</a> – <a href="5-Searching_Asssociation.html">Link to Previous Session</a> – <a href="07-Anonymising.html">Link to Next Session</a> ] .date[ ### Training Content as of 29 November 2022 ] --- --- class: inverse, center, middle # TIME TO PRACTISE ON YOUR OWN 5 minutes! - Open again locally and fill in the clean - upload and build up you data dictionary `kobo_dico()` - download again the xlsfrom and fill in the various tab for cleaning log - add the following indicator: --- class: inverse, center, middle # Thank you __Next session__: [07-Anonymising](07-Anonymising.html) In order to provide other people to work with the data, a first level of data anonymisation should be implemented